feat: 添加 /v1/models 端点支持

- 新增 ModelsEndpoint 类，返回当前 token 可用的所有模型列表
- 兼容 OpenAI API 格式
- 支持 Authorization 和 x-api-key 两种认证方式

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

src/providers/index.ts

@@ -282,3 +282,7 @@ class ResponsesProxyEndpoint extends OpenAPIRoute {
 }
 
 api.post("/v1/responses", ResponsesProxyEndpoint)
+
+// Models endpoint
+import { ModelsEndpoint } from "./models"
+api.get("/v1/models", ModelsEndpoint)

src/providers/models.ts

@@ -0,0 +1,128 @@
+import { Context } from "hono";
+import { OpenAPIRoute } from "chanfana";
+import { z } from "zod";
+
+const getApiKeyFromHeaders = (c: Context<HonoCustomType>): string | null => {
+    const authHeader = c.req.raw.headers.get('Authorization');
+    const xApiKey = c.req.raw.headers.get('x-api-key');
+
+    if (authHeader) {
+        return authHeader.replace("Bearer ", "").trim();
+    }
+    if (xApiKey) {
+        return xApiKey.trim();
+    }
+    return null;
+}
+
+const fetchTokenData = async (c: Context<HonoCustomType>, apiKey: string) => {
+    const tokenResult = await c.env.DB.prepare(
+        `SELECT * FROM api_token WHERE key = ?`
+    ).bind(apiKey).first();
+
+    if (!tokenResult || !tokenResult.value) {
+        return null;
+    }
+
+    return {
+        tokenData: JSON.parse(tokenResult.value as string) as ApiTokenData,
+        usage: tokenResult.usage as number || 0,
+    };
+}
+
+const fetchChannelsForToken = async (
+    c: Context<HonoCustomType>,
+    tokenData: ApiTokenData
+) => {
+    const channelKeys = tokenData.channel_keys;
+
+    if (!channelKeys || channelKeys.length === 0) {
+        return await c.env.DB.prepare(
+            `SELECT key, value FROM channel_config`
+        ).all<ChannelConfigRow>();
+    }
+
+    const channelQuery = channelKeys.map(() => '?').join(',');
+    return await c.env.DB.prepare(
+        `SELECT key, value FROM channel_config WHERE key IN (${channelQuery})`
+    ).bind(...channelKeys).all<ChannelConfigRow>();
+}
+
+export class ModelsEndpoint extends OpenAPIRoute {
+    schema = {
+        tags: ['OpenAI Proxy'],
+        summary: 'List available models',
+        request: {
+            headers: z.object({
+                'Authorization': z.string().optional().describe("Token for authentication (OpenAI format)"),
+                'x-api-key': z.string().optional().describe("API key for authentication (Claude format)"),
+            }),
+        },
+        responses: {
+            200: {
+                description: 'List of available models',
+                content: {
+                    'application/json': {
+                        schema: z.object({
+                            object: z.string(),
+                            data: z.array(z.object({
+                                id: z.string(),
+                                object: z.string(),
+                                created: z.number(),
+                                owned_by: z.string(),
+                            })),
+                        }),
+                    },
+                },
+            },
+        },
+    };
+
+    async handle(c: Context<HonoCustomType>) {
+        const apiKey = getApiKeyFromHeaders(c);
+        if (!apiKey) {
+            return c.text("Authorization header or x-api-key not found", 401);
+        }
+
+        const tokenInfo = await fetchTokenData(c, apiKey);
+        if (!tokenInfo) {
+            return c.text("Invalid API key", 401);
+        }
+
+        const { tokenData } = tokenInfo;
+
+        const channelsResult = await fetchChannelsForToken(c, tokenData);
+
+        if (!channelsResult.results || channelsResult.results.length === 0) {
+            return c.json({
+                object: "list",
+                data: [],
+            });
+        }
+
+        // Collect all unique models from all available channels
+        const modelsSet = new Set<string>();
+
+        for (const row of channelsResult.results) {
+            const config = JSON.parse(row.value) as ChannelConfig;
+            if (config.deployment_mapper) {
+                for (const modelName of Object.keys(config.deployment_mapper)) {
+                    modelsSet.add(modelName);
+                }
+            }
+        }
+
+        // Convert to OpenAI models format
+        const models = Array.from(modelsSet).sort().map((modelId) => ({
+            id: modelId,
+            object: "model" as const,
+            created: 1700000000,
+            owned_by: "system",
+        }));
+
+        return c.json({
+            object: "list",
+            data: models,
+        });
+    }
+}